Fast Classification of Different Oils and Routes Used in Biodiesel Production Using Mid Infrared Spectroscopy and PLS2-DA

Mazivila, Sarmento J.; Mitsutake, Hery; Santana, Felipe Bachion de; Gontijo, Lucas Caixeta; Santos, Douglas Queiroz; Neto, Waldomiro Borges

doi:10.5935/0103-5053.20150020

Cited by 4 publications

(5 citation statements)

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“…This created a model that was 100% accurate in terms of both sensitivity and specificity. Mazivila, et al (2015) used the mid-infrared spectroscopy (MIR) data to sort biodiesel samples into groups based on their types and routes. They did this using a PLS-DA-based classification algorithm.…”

Section: Introductionmentioning

confidence: 99%

“…Average of Sens and Spec values for classes were taken into account; 2 adopted from(Mohammadi, et al, 2020); 3 adopted from(Barra, et al, 2020); 4 adopted from(Khanmohammadi, et al, 2013); 5 adopted from(Mazivila, et al, 2015); 6 adopted from (De Paulo, et al, 2014); 7 adopted from (Comesaña-García, et al, 2013); 8 adopted from (DagoMorales, et al, 2008); 9NS is a number of samples. PLS-DA: Partial least squares discriminant analysis, SIMCA: Soft independent modeling of class analogy, SVM: Support vector machine…”

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confidence: 99%

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Efficient and Simplified Modeling for Kerosene Processing Quality Detection Using Partial Least Squares-Discriminant Analysis Regression

Issa,

Hama Salih

2024

ARO

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Kerosene from various refineries and crudes is used for heating and other purposes in many countries like Iraq; therefore, it is important to identify its source to recognize and tax any adulteration. In this study, a fast classification technique for kerosene marketed in Iraq was developed with the goal of identifying its quality. The samples were categorized using a supervised partial least squares discriminant analysis (PLS-DA) approach. Multivariate analyses using agglomerative hierarchal clustering and principal component analysis were utilized to identify outliers and sample dissimilarities. The dataset was divided into calibration and prediction sets. The prediction set was used to evaluate the model’s separation performance. The Q2 cross-validation was applied. The PLS-DA models achieved significant accuracy, sensitivity, and specificity, showing strong segregation ability, notably for the calibration set (100% accuracy and 1.00 sensitivity). It was found that kerosene processing can be classified rapidly and non-destructively without the need for complicated analyses, demonstrating the best results for classification even when compared with the classification outcomes of other fuels. This PLS-DA approach has never been looked at before for process quality detection, and the results are comparable to direct kerosene classification with soft independent modeling of class analogy and support vector machines.

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Section: Introductionmentioning

confidence: 99%

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confidence: 99%

Efficient and Simplified Modeling for Kerosene Processing Quality Detection Using Partial Least Squares-Discriminant Analysis Regression

Issa,

Hama Salih

2024

ARO

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“…Biodiesel is usually obtained through a transesterification reaction of vegetable oils, in which a triglyceride reacts with a short-chain alcohol such as methyl alcohol, ethyl alcohol or isopropanol by means of acid, base or enzyme catalysis from different vegetable oils, waste cooking oils and animal fats. [1][2][3][4][5][6][7] In some cases, formulations with biodiesel increase the formation of deposits in the engine, causing injectors to deteriorate and piston rings to become clogged. It is known that most diesel cycle engines are designed to run on mineral oil diesel and not on biodiesel or blends of biodiesel and mineral diesel.…”

Section: Introductionmentioning

confidence: 99%

“…11 Due to the properties of biodiesel, the agents most frequently employed in the transesterification process are methyl and ethyl alcohols. [2][3][4][5][6][7][8][9][10][11][12] Brazil today is the world's largest producer of sugarcane ethanol, which is the fuel alcohol most widely used in this country. 13 Biodiesel quality is usually determined based on fuel quality standards, such as the American standards ASTM D975 14 and D7467 15 and the European standard EN 14214.…”

Section: Introductionmentioning

confidence: 99%

Biodiesel Glycerides from the Soybean Ethylic Route Incomplete Conversion on the Diesel Engines Combustion Process

Cataluña

Shah

Pelisson

et al. 2017

J. Braz. Chem. Soc.

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An evaluation was made to determine the effect of the glycerides presence resulting from the incomplete conversion of soybean biodiesel produced via alkaline catalysis and ethylic route on engine performance, and emissions in formulations containing 10 and 20% (m/m) of biodiesel used as additives in base diesel with low sulfur content and cetane ratings of 45 and 50. By way of comparison, similar formulations were used with soybean biodiesel methyl route with low concentration of glycerides. Tests on a diesel cycle engine with a mechanical fuel injection system indicated that the presence of glycerides decreases the volatility of biodiesel and increase the cetane number of fuels. The higher the cetane number, the higher the particulate matter emissions and the lower the unburned hydrocarbon emissions. Formulations with cetane number 50 showed higher emissions of particulate matter. The presence of glycerides in biodiesel reduces the fuel's vapor pressure, thereby increasing the cetane number and emissions of particulate matter and lower emissions of unburned hydrocarbons. The specific consumption of fuels formulated with biodiesel increases due to its lower enthalpy of combustion and to the presence of glycerides in fuels formulated with soybean biodiesel produced via the ethanol route.

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“…Assim, a produção de biodiesel a partir de fontes alternativas é uma realidade e o controle de qualidade dos produtos obtidos se fazem necessários, principalmente no que tange ao teor de biodiesel em misturas com diesel. (ANZANELLO et al, 2015;MAZIVILA et al, 2015a;SOUZA et al, 2015). No entanto, esta aplicabilidade só aumentou devido ao desenvolvimento dos métodos quimiométricos, pois os dados obtidos a partir dos espectros MIR são complexos, os quais visualmente, isto é, sem qualquer tratamento matemático e estatístico, é difícil extrair informação útil.…”

Section: Muito Obrigado!!! Valeu!!!unclassified

Uso de espectrometria no infravermelho médio, calibração multivariada e seleção de variáveis por intervalos na quantificação de biodieseis em misturas com diesel

Gontijo¹

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É difícil agradecer todas as pessoas que de algum modo, nos momentos serenos e ou apreensivos, fizeram ou fazem parte da minha vida, por isso primeiramente agradeço a todos de coração. Ao prof. Dr. Waldomiro Borges Neto pelo convívio, pеlо apoio, compreensão е amizade. Obrigado pela orientação segura e competente e, principalmente, pela confiança depositada em meu trabalho. Aos meus pais, Carolino Caixeta Gontijo (in memorian) e Juversina Geralda dos Santos Gontijo que iluminaram os caminhos obscuros com afeto e dedicação para que os trilhasse sem medo e cheio de esperança; que se doaram inteiros e renunciaram aos seus sonhos, para que, muitas vezes, pudesse realizar o meu; Muito obrigado, AMO VOCÊS. À Núbia Rosa Martins Gontijo, minha esposa, pessoa que аmо partilhar а vida. Obrigado pelo carinho, а paciência е pоr sua capacidade dе me trazer pаz nа correria dе cada ano de doutoramento. Aos meus filhos, Lukian Martins Gontijo е Nubiany Martins Gontijo, quе embora nãо tenham conhecimento disto, mаs iluminam dе maneira muito especial оs meus pensamentos, os meus dias, mе levando а buscar mais conhecimentos. Agradeço aos meus irmãos, Valéria Maria Caixeta e Luciano dos Santos Gontijo, que por mais difícil que fossem as circunstâncias, sempre tiveram ao meu lado me dando apoio. Agradeço ao prof. Dr. Douglas Queiroz Santos pelas conversas formais e informais, pelos seus conselhos, confiança, presteza e amizade. Pessoas como você tem que "DAR VALOR".

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Fast Classification of Different Oils and Routes Used in Biodiesel Production Using Mid Infrared Spectroscopy and PLS2-DA

Cited by 4 publications

References 1 publication

Efficient and Simplified Modeling for Kerosene Processing Quality Detection Using Partial Least Squares-Discriminant Analysis Regression

Efficient and Simplified Modeling for Kerosene Processing Quality Detection Using Partial Least Squares-Discriminant Analysis Regression

Biodiesel Glycerides from the Soybean Ethylic Route Incomplete Conversion on the Diesel Engines Combustion Process

Uso de espectrometria no infravermelho médio, calibração multivariada e seleção de variáveis por intervalos na quantificação de biodieseis em misturas com diesel

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